Multimodal Physics AI Researcher

Causal is building a Large Physics foundation Model to predict how physical systems evolve, using multimodal sensor data and simulations to learn verifiable cause and effect. You will design architectures and training recipes to turn heterogeneous observations into accurate long-horizon forecasts, with applications in weather and physics. Join a collaborative team translating research ideas into scalable training runs and production models that advance general causal intelligence. #J-18808-Ljbffr Causal